Advanced adaptive frequency support scheme for DFIG under cyber uncertainty

Wang，Huaizhi1; Liu，Yangyang1; Zhou，Bin2; Voropai，Nikolai3; Cao，Guangzhong1; Jia，Youwei4; Barakhtenko，Evgeny3

2020-12-01

10.1016/j.renene.2020.06.085

RENEWABLE ENERGY   影响因子和分区

0960-1481

1879-0682

In recent years, the development of information and communication technology has promoted the transformation of traditional electrical power grid into a deeply-intertwined cyber physical power system (CPPS). However, it also introduces cyber uncertainties that have a significant impact on the economic operation and real-time control of CPPS. This paper aims to solve the control problem of frequency support of wind farms in a cyber uncertainty environment, and proposes an advanced adaptive frequency support scheme for doubly-fed induction generator (DFIG). In the proposed scheme, both the minimum rotor speed and the deloaded operating level of wind turbines are required to be determined at first. Then, an advanced adaptive droop control method is proposed with consideration of cyber uncertainty to improve the response speed of wind turbines for frequency support. Finally, the stability of the proposed scheme is theoretically proved. The proposed scheme combines deloading control and inertial control, so that the controller can not only make up for the impact of cyber uncertainty on frequency regulation, but also can adaptively determine the participation factor of each wind turbine. The effectiveness of this control scheme is highlighted on a simulation platform built on Matlab/Simulink. The obtained results demonstrate that the proposed control scheme is capable for improving the frequency nadir and preventing secondary frequency dips.

Cyber physical power system Cyber uncertainty DFIG Droop control Frequency support

SCI ; EI

英语

其他

National Natural Science Foundation of China[NSFC U1813212][51877072][51707123] ; Huxiang Young Talents Programme of Hunan Province[2019RS2018] ; Shenzhen Science and Technology Innovation Committee[JCYJ20180305124348603]

Science & Technology - Other Topics ; Energy & Fuels

Green & Sustainable Science & Technology ; Energy & Fuels

WOS:000572898600009

PERGAMON-ELSEVIER SCIENCE LTD

20203209011486

Adaptive control systems ; Cyber Physical System ; Electric power system control ; Electric power transmission networks ; Simulation platform ; MATLAB ; Wind farm ; Electric fault currents ; Real time control ; Asynchronous generators

Wind Power (Before 1993, use code 611 ):615.8 ; Electricity: Basic Concepts and Phenomena:701.1 ; AC Generators:705.2.1 ; Electric Power Systems:706.1 ; Electric Power Transmission:706.1.1 ; Computer Applications:723.5 ; Automatic Control Principles and Applications:731 ; Control Systems:731.1 ; Control System Applications:731.2 ; Mathematics:921

ENGINEERING

2-s2.0-85088984127

Scopus

1.Guangdong Key Laboratory of Electromagnetic Control and Intelligent Robots,Shenzhen University,Shenzhen,518060,China
2.College of Electrical and Information Engineering,Hunan University,Changsha,410082,China
3.Melentiev Energy Systems Institute of Siberian Branch of the Russian Academy of Sciences,Irkutsk,664033,Russian Federation
4.Department of Electrical and Electronic Engineering,Southern University of Science and Technology,Shenzhen,518055,China

Wang，Huaizhi,Liu，Yangyang,Zhou，Bin,et al. Advanced adaptive frequency support scheme for DFIG under cyber uncertainty[J]. RENEWABLE ENERGY,2020,161:98-109.

Wang，Huaizhi.,Liu，Yangyang.,Zhou，Bin.,Voropai，Nikolai.,Cao，Guangzhong.,...&Barakhtenko，Evgeny.(2020).Advanced adaptive frequency support scheme for DFIG under cyber uncertainty.RENEWABLE ENERGY,161,98-109.

Wang，Huaizhi,et al."Advanced adaptive frequency support scheme for DFIG under cyber uncertainty".RENEWABLE ENERGY 161(2020):98-109.